This section investigates the extent to which temporal correlation in [1]}'s dataset may have influenced the performance of deep classifiers.
We first compute EEG classification performance on the block-design BDVE dataset proposed in [1]} (described in the previous section) to show what is the current state-of-the-art classification performance on this dataset. Then, in order to investigate if the obtained results are due to a temporal correlation in EEG data:
